A Study of Personal Health Record User's Behavioral Model Based on the PMT and UTAUT Integrative Perspective
- PMID: 28025557
- PMCID: PMC5295259
- DOI: 10.3390/ijerph14010008
A Study of Personal Health Record User's Behavioral Model Based on the PMT and UTAUT Integrative Perspective
Abstract
The personal health record (PHR) is a system that enables borderless medical care services by combining technological innovation and human consideration. This study explored factors affecting the adoption of PHR from technical, medical, and social perspectives according to the Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT) model. A survey using a structured questionnaire was subsequently conducted, which produced the following results: (1) The PMT and UTAUT were effective at predicting PHR usage behaviors; (2) Perceived ease-of-use was the most decisive factor influencing the use of PHR, followed by self-efficacy and perceived usefulness; and (3) Behavioral intention for PHR was significantly and positively correlated with usage behavior. From the obtained results, this study recommends that health authorities and medical institutions promote self-efficacy in the use of PHR to improve the levels of behavioral intention and usage behavior among the people. Additionally, medical care institutions are recommended to promote health management and preventive healthcare concepts to help improve public acceptance of the PHR system as a means to self-manage their health. Finally, community centers, medical institutions, and health authorities are urged to work together to enhance public medical knowledge and pool resources for the PHR system, both of which are essential for improving the popularity of the PHR, public quality of life, and the effectiveness of health management.
Keywords: UTAUT model; personal health record; protection motivation theory.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Woods S.S., Schwartz E., Tuepker A., Press N.A., Nazi K.M., Turvey C.L., Nichol W.P. Patient experiences with full electronic access to health records and clinical notes through the my healthevet personal health record pilot: Qualitative study. J. Med. Int. Res. 2013;15:1–10. doi: 10.2196/jmir.2356. - DOI - PMC - PubMed
-
- Burrington-Brown J., Fishel J., Fox L., Friedman B., Giannangelo K., Jacobs E. Defining the personal healthrecord. J. AHIMA. 2005;76:24–25. - PubMed
-
- Waegemann C.P. Closer to reality. Personal health records represent a step inthe right direction for interoperability of healthcare IT systems and accessibility of patient data. Health Manag. Technol. 2005;26:16–18. - PubMed
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